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Quality Engineering Solutions

With the increased adoption of DevOps, automated testing has become critical for quality engineering to keep up with the accelerated pace of software releases. In the past, automated testing was about manual test case design, framework setup, record/replay, and scripting, all of which were not aligned with today’s CI/CD pipelines. AI provides the answer by taking a new look at test creation, execution, and maintenance. AI reduces test maintenance to a minimum and helps create more reliable tests. Smart algorithms take on the most repetitive problems in test automation. No longer the bottleneck, test automation has become the catalyst within a CI/CD pipeline with release frequency determined by the speed of coding. DigitalNext is bringing the power of AI to our clients, taking Quality Engineering in general and test automation in particular to the next level.

Your Transformation Journey

Shift Left Approach Transforming quality engineering with a continuous ‘shift left’ strategy is at its core an automation-first approach that leverages AI-ML expertise and best-in-class tools for a robust testing mindset across every stage in the software lifecycle. Comprehensive testing enters right at the design phase and continues post-deployment. AI/ML has stepped to take on the huge volume of test cases that need to be written, maintained, and executed several times daily, weekly, monthly, while drawing insight from test results for developers to respond and react with speed.

Secure SDLC Security best practices and tools are being adopted throughout the software development lifecycle. This avoids the need to address security vulnerabilities during postproduction, which dramatically pushes up costs compared to addressing them early on in the lifecycle. Security is leveraged during early stages of the lifecycle and enforced during integration testing. Risks from use of open source and Docker libraries need to be fixed early during the DevOps pipeline. Stress testing for unknown situations prevents additional surprises post production.

Usability Testing Accessible Design require all applications to be accessible to people with disabilities, putting accessibility and usability at the core of software development processes. Accessibility and usability — need to be coupled right from the design phase of the software engineering lifecycle to mitigate potential accessibility and usability issues later in the development process.

AI driven automation Artificial Intelligence and automation automate repetitive tasks in both production and delivery. Ensuring a seamless quality-driven service delivery requires the use of AI and Automation, to achieve a holistic digital transformation. Continuous testing has become integrated with the DevOps pipeline for zero touch deployments.

Powered by DigitalNext

AI is at the core of the DigitalNext Quality Engineering Lifecycle. While we make extensive use of test automation, we apply AI to remove the limitations of test automation tools. By minimizing the direct involvement of the tester in basic tasks and making decisions based on data and metrics, AI enables us to transform the testing life cycle. The goal is to test software faster and more efficiently to create high quality software at digital speed. Our Quality Engineering services include:

Strategic Consulting
People, process, and tool / technology consultations. QA to QE roadmap & transformations. Best practices & centralized governance models.

QA Validation Services Shift-left strategies & E2E validations. Technology/product specific test methodology & repositories. DQ, IQ, OQ, PQ techniques & 21 CFR Part 11 Compliance standards

DevOps & Continuous Testing AI powered continuous testing. End to end Agile DevOps implementations.

Automation & Performance AI powered automation & performance testing. Commercial & open source tool driven proprietary frameworks. Performance engineering.

Security, Cloud & Infra Testing
Test data strategies & implementations.
Environment management & setup.
Cloud migration validation strategies.

Functional & regression testing
Automation and performance test strategies.
Mobile test automation platform & hosted device labs.

BI/DWH
ETL & reports validation frameworks.
Data quality testing.
Data modeling & predictive analytics.

Specialized
Testing
CRM / ERP Focused.
Code quality techniques.
ML testing.